An exploration of Hul’qumi’num Coast Salish peoples’ attitudes towards the establishment of no‐take zones within marine protected areas in the Salish Sea, Canada
Bibliographic record
Abstract
The Canadian Government has committed to establishing a national network of Marine Protected Areas. Progress in the Salish Sea (Strait of Georgia) of British Columbia has been slow. Opposition by First Nations is a factor as these protected areas have the potential to impact on Aboriginal rights. This case study with the Hul’qumi’num First Nations examines their approaches to marine conservation and their perspectives on “no‐take zones” as a component of marine conservation. The study used a variety of community engagement procedures including relationship building, hiring of a Hul’qumi’num research assistant, conducting individual interviews, focus groups, and field surveys. Interviews were conducted with 41 participants contacted because of their knowledge and interest in marine resource use. The views reported provide a rich understanding of Hul’qumi’num attitudes, but cannot be generalised to the whole population. There was widespread support for efforts to involve local First Nations communities in the development of management plans for marine resources, and also for recognition of First Nation reliance on marine resources for food, social, and ceremonial needs and for economic development opportunities. The establishment of permanent no‐take zones was met with both opposition and support. The most highly endorsed statement about no‐take zones is one of principle—that they are a violation of Aboriginal rights. However, there was also strong agreement that permanent no‐take zones would help reduce over‐fishing. The National Marine Conservation Area program is in its infancy and it remains to be seen how the “strictly protected” zone of the legislation will be interpreted in relationship to Aboriginal harvesting practices. However it is clear that successful conservation will only occur with Aboriginal consent in many areas and there needs to be greater investment in understanding Aboriginal perspectives on marine conservation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".